686 embedded-system "https:" "https:" "https:" "https:" "UCL" research jobs in Singapore
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Established in 1992, the Wee Kim Wee School of Communication and Information (WKWSCI) is the only full-fledged communication school in Singapore and is a world-class centre of excellence with
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researchers in operating CVD and high-vacuum deposition and semiconductor processing systems. Assist with experimental setup, tool preparation, sample handling and process monitoring. Perform routine material
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fabricate modifications for commercial specialised lab equipment, experience in designing for hardware integration, machining, part selection is required Operate specialised lab equipment; training will be
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of Singapore (NUS), invites applications for the position of Research Assistant/Associate. The successful applicant is expected to commence duties at NUS in March 2026, or as soon as possible thereafter
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applications for the position of Research Assistant in the Department of Information Systems and Analytics (DISA), School of Computing (SoC). SoC is strongly committed to research excellence in all its
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(ECE) Department at the National University of Singapore (NUS) is seeking qualified applicants for the position of Research Assistant to support an advanced research project on physics-informed
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invites applications for the position of Research Associate in the Department of Computer Science, School of Computing (SoC). SoC is strongly committed to research excellence in all its dimensions
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The School of Chemistry, Chemical Engineering and Biotechnology (CCEB) is looking for a Research Fellow who is a skilled organic chemist who have experience to design and preparation of chiral
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Research Fellow (Centre for Multilateralism Studies) The S. Rajaratnam School of International Studies (RSIS), a Graduate School of Nanyang Technological University (NTU), is a leading research
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Singapore’s AI-for-Science ecosystem. Key Responsibilities: The candidate is expected to conduct the following research works Develop and implement the "AI+Physics" discrepancy modeling framework to predict